Supply Chain Business Operations Manager, AI Strategy
Listed on 2026-07-03
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Supply Chain/Logistics
AI Business & Operations, Change Management, Operations Management
About Zipline
Zipline is the world’s largest and most experienced drone delivery service. We are on a mission to serve all humans equally by ensuring access to food, medicine and essential goods anytime, anywhere. We design, build, and operate the world’s largest autonomous logistics system, delivering critical supplies quickly and reliably. Today, Zipline operates on four continents, makes a delivery somewhere in the world every 30 seconds, and has completed millions of deliveries to date, including blood, vaccines, medical supplies, food, and retail products.
Our customers include the world’s largest and most prominent healthcare systems, governments, retailers, restaurants and global businesses who rely on us to save lives, reduce emissions, increase economic opportunity, and provide delivery from point A to point B as fast as possible. The drone is only 15% of what we’ve built to enable seamless, reliable, global operations.
Our system strengthens supply chains, reduces congestion, and gives people time back. With more than 140 million commercial autonomous miles safely flown, Zipline is redefining access to healthcare, consumer products, and food across the globe.
We operate at a global scale and are looking for practical problem solvers who thrive on real-world challenges and rapid growth. Our team is motivated by building systems that have a direct, meaningful impact on people’s lives and by scaling the future of logistics. We are seeking people who sculpt from first principles, enjoy facing adversity, and can do the impossible at record breaking speeds.
Aboutyou and the role
Does the prospect of helping Zipline’s supply chain teams make faster, better decisions through AI-enabled workflows sound like the type of work that gets you out of bed in the morning? In this role, you will find high-impact opportunities to use AI across supplier management, planning, inventory, sourcing, manufacturing readiness, and day-to-day operations. You will turn those opportunities into practical tools and workflows, then help teams adopt them in their daily work.
You will sit at the intersection of supply chain operations, data, systems, and AI enablement, helping Zipline build a faster, smarter, and more scalable operating model.
This is an in-person role based out of our HQ in South San Francisco requiring 5-15% travel to support supplier engagements, strategic initiatives, and key stakeholder meetings in Asia, North America, and other regions as needed.
What You’ll DoIn this highly visible and multifaceted role, you will lead AI enablement across Zipline’s supply chain function. You will turn operational pain points, fragmented data, and manual workflows into practical AI-assisted tools, automations, and decision systems that help teams move faster with better information. You will collaborate closely with Engineering, Data, IT, Strategic Sourcing, Supplier Industrialization, Material Planning, Manufacturing Operations, Finance, and executive leadership to scale reliable, AI-enabled operating workflows across Zipline’s manufacturing footprint.
- Identify, prioritize, and own high-impact AI enablement opportunities across Supply Chain, including supplier collaboration, material planning, inventory health, sourcing workflows, production readiness, and executive operating rhythms.
- Design and deploy AI-assisted workflows, copilots, agents, automations, and decision-support tools that reduce manual work, improve decision quality, and make supply chain teams faster and more effective.
- Partner with Supply Chain, Engineering, Data, IT, Finance, Manufacturing Operations, and external vendors to translate operational pain points into AI-enabled product requirements, prototypes, adoption plans, and measurable business outcomes.
- Build the data foundations, process maps, and feedback loops needed for reliable AI workflows, including data quality checks, source-of-truth alignment, human-in-the-loop review, and clear ownership models.
- Use SQL, Python, BI tools, and AI/LLM platforms to prototype and operationalize tools that synthesize supplier, ERP, MRP, inventory, production, cost, and risk data into actionable…
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